Bachelor’s degree or equivalent practical experience.
2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
1 year of experience with one or more of the following: Speech/audio, reinforcement learning, ML infrastructure, or specialization in another ML field.
1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging).
Nice to haves:
Master's degree or PhD in Computer Science or related technical fields.
2 years of experience with data structures and algorithms.
Experience developing accessible technologies.
What you'll be doing:
Write product or system development code.
Collaborate with peers and stakeholders through design and code reviews to ensure best practices.
Contribute to existing documentation or educational content based on feedback.
Triage product or system issues and debug/resolve by analyzing sources of issues.
Implement solutions in specialized ML areas, utilize ML infrastructure, and optimize models.
Perks and Benefits:
You'll work on next-generation technologies that impact billions of users.
Opportunities to switch teams and projects as you and the business grow.
Versatile work, leadership opportunities, and problem-solving in a fast-paced environment.
A culture of belonging and equal employment opportunity at Google.